Low Risk

get_resource_schema_information

get_resource_schema_information

How to control get_resource_schema_information ↓

What get_resource_schema_information does on Amazon Data Processing MCP Server

AI agents call get_resource_schema_information to retrieve information from Amazon Data Processing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_resource_schema_information needs a policy

The tool name contains the verb 'get', which is a classic read operation that retrieves information without side effects. Given the empty description, confidence is reduced, but the naming convention strongly suggests schema introspection or information retrieval. This poses minimal risk as it only exposes schema metadata rather than sensitive data or operational capabilities.

From the tool's definition Tool name 'get_resource_schema_information' indicates a retrieval operation that queries schema metadata. The absence of action words like 'create', 'delete', 'modify', or 'execute' suggests a read-only operation.

Documented attack patterns abuse exactly the kind of access get_resource_schema_information gives an agent:

How to control get_resource_schema_information

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Data Processing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_resource_schema_information:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_resource_schema_information": {}
  }
}

get_resource_schema_information is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Data Processing MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_resource_schema_information

What does the get_resource_schema_information tool do? +

get_resource_schema_information. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_resource_schema_information? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for get_resource_schema_information: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Amazon Data Processing MCP Server. Nothing to install.

What risk level is get_resource_schema_information? +

get_resource_schema_information is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_resource_schema_information? +

Yes. Add a rate_limit block to the get_resource_schema_information rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_resource_schema_information completely? +

Set action: deny in the PolicyLayer policy for get_resource_schema_information. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_resource_schema_information? +

get_resource_schema_information is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Data Processing MCP Server tool call.

Start from Amazon Data Processing MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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